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MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT I
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Journal Papers
26
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Journal Papers
26
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Enriching Category Representations with LLMs Towards Robust Zero-Shot OOD Detection
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT I
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2026-01-01
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Chao, Dian; Zhang, Yuxuan; Zhou, Luping; Yang, Yang
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Fair and Privacy-Preserving Synthetic Data Generation via Clustering-Based Variational Autoencoder and Adversarially Debiased Wasserstein Generative Adversarial Networks with Gradient Penalty
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT I
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2026-01-01
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Adouani, Malek; Dagdia, Zaineb Chelly
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Bias vs Bias Dawn of Justice: A Fair Fight in Recommendation Systems
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT I
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2026-01-01
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Kheya, Tahsin Alamgir; Bouadjenek, Mohamed Reda; Aryal, Sunil
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Analyzing and Correcting Biased Machine Learning-Based Tuning of Weight Shrinkage in Forecast Combination
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT I
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2026-01-01
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Wachslander, Veronika
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TreeDiffusion: Hierarchical Generative Clustering for Conditional Diffusion
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT I
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2026-01-01
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Goncalves, Jorge da Silva; Manduchi, Laura; Vandenhirtz, Moritz; Vogt, Julia E.
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Improving Novel Anomaly Detection with Domain-Invariant Latent Representations
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT I
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2026-01-01
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Roy, Padmaksha; Jin, Ming; Singhal, Himanshu; Cody, Tyler; Choi, Kevin
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InfoClus: Informative Clustering of High-Dimensional Data Embeddings
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT I
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2026-01-01
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Lai, Fuyin; Heiter, Edith; Bied, Guillaume; Lijffijt, Jefrey
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KANITE: Kolmogorov-Arnold Networks for ITE Estimation
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT I
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2026-01-01
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Mehendale, Eshan; Thorat, Abhinav; Kolla, Ravi; Pedanekar, Niranjan
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RandomAD: A Random Kernel-Based Anomaly Detector for Time Series
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT I
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2026-01-01
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Xi, Wenjie; Lin, Jessica
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Unimodal Strategies in Density-Based Clustering
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT I
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2026-01-01
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Nir, Oron; Tenenbaum, Jay; Shamir, Ariel
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Unsupervised Surrogate Anomaly Detection
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT I
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2026-01-01
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Kluettermanni, Simon; Katzke, Tim; Mueller, Emmanuel
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Robust Gaussian Process Regression with Huber Likelihood and Projection Pursuit
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT I
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2026-01-01
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Algikar, Pooja; Mili, Lamine
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Redefining Fairness: A Multi-dimensional Perspective and Integrated Evaluation Framework
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT I
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2026-01-01
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Wang, Zichong; Yin, Zhipeng; Liu, Zhen; Yap, Roland H. C.; Zhang, Xiaocai; Hu, Shu; Zhang, Wenbin
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What Large Language Models Do Not Talk About: An Empirical Study of Moderation and Censorship Practices
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT I
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2026-01-01
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Noels, Sander; Bied, Guillaume; Buyl, Maarten; Rogiers, Alexander; Fettach, Yousra; Lijffijt, Jefrey; De Bie, Tijl
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Better Features, Better Calibration: A Simple Fix for Overconfident Networks
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT I
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2026-01-01
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Ghosal, Soumya Suvra; Hebbalaguppe, Ramya; Manocha, Dinesh
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Optimizing and Tuning Fairness in Machine Learning: An Augmented Lagrangian Method with a Performance Budget
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT I
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2026-01-01
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Fontana, Michele; Naretto, Francesca; Monreale, Anna
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DispaRisk: Assessing Fairness Through Usable Information
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT I
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2026-01-01
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Vasquez, Jonathan; Domeniconi, Carlotta; Rangwala, Huzefa
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GLADMamba: Unsupervised Graph-Level Anomaly Detection Powered by Selective State Space Model
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT I
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2026-01-01
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Fu, Yali; Li, Jindong; Wang, Qi; Xing, Qianli
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SODA: Out-of-Distribution Detection in Domain-Shifted Point Clouds via Neighborhood Propagation
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT I
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2026-01-01
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Goodge, Adam; Hooi, Bryan; Liao, Jingyi; Su, Yongyi; Ng, Wee Siong; Xu, Xun; Yang, Xulei
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HAGAN: Homophily-Aware Generative Adversarial Network for Graph Anomaly Detection
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT I
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2026-01-01
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Wang, Wenkai; Gao, Fan; Wang, Meihong
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